Results 141 to 150 of about 8,291 (262)

The Role of Fintech and the Shadow Economy in Advancing Sustainable Development Across G7 Countries: Evidence From MMQR Analysis

Sustainable Development, EarlyView.
ABSTRACT Achieving sustainable development requires balancing economic growth with environmental conservation, but the relationship between informal economic activities and emerging financial technologies in boosting green growth (GG) is not well understood.
Muhammad Salah Uddin, Rashed Jahangir, Mamunur Rashid, Muhammad Hassan Abbas, Md. Al Amin   +4 more
wiley   +1 more source

Artificial Intelligence for Blue Transformation: A Review of Predictive Modeling and Decision Support Systems in Sustainable Aquaculture

Sustainable Development, EarlyView.
ABSTRACT The FAO's “blue transformation” roadmap necessitates a fundamental shift towards precision aquaculture to meet global food security targets while minimizing environmental footprints. This review provides a comprehensive overview of how artificial intelligence (AI) and decision support systems (DSS) serve as pivotal enablers for the “better ...
Mustafa Öz, Enes Üstüner
wiley   +1 more source

Applying explainable artificial intelligence to interpret supervised ensemble learning models for robust credit card fraud detection. [PDF]

Sci Rep
Awad SS, Hamza AA, Sobh MA, Bahaa-Eldin AM.   +3 more
europepmc   +1 more source

Normalizing the Shamed Self: Stigma, Neutralization and “Narrative Credibility” in Interviews on White‐Collar Transgression

Symbolic Interaction, EarlyView.
In this article, I analyze my interviews with Mark (pseudonym), a social scientist who committed major academic fraud in over 50 top‐tier journal articles in the first decade of this century. I explain how stigma played a central role in how Mark and I shaped our interaction. I focus on how Mark, a former Professor and Dean with a distinguished career,
Thaddeus Müller
wiley   +1 more source

A feasibility study on integrating Generative AI and video conferencing into Indonesian recruitment processes. [PDF]

Front Artif Intell
Ramaditya M, Ikhsan M, Lubis MFS, Riantoputra CD.   +3 more
europepmc   +1 more source

“Bad Things Happen in Philadelphia”: Managing Stigma and Threats in the Wake of False Criminal Accusations

Symbolic Interaction, EarlyView.
In the aftermath of the 2020 U.S. election, the boundary between activism and extremism blurred, with election officials reporting violent threats and false accusations of election fraud. From a symbolic interactionist perspective, these attacks provide a unique lens for examining the consequences of being falsely labeled a criminal.
Steven Windisch
wiley   +1 more source

Creating a Masterpiece. The Road to (and Beyond) Woodward and Hoffmann's 1969 Angewandte Chemie Treatise

The Chemical Record, EarlyView.
This publication describes how R. B. Woodward and Roald Hoffmann crafted their masterpiece publications. Illustrations include Woodward's first draft of the famous “Violations There are none. Nor can violations be expected of so fundamental a principle of maximum bonding.” Original but discarded text shows the stepwise paths toward the W‐H masterpieces.
Jeffrey I. Seeman
wiley   +1 more source

IVA-FL: An information-value-aware federated learning framework for Privacy-Preserving Financial data Risk Management. [PDF]

PLoS One
Wu J, Xu H, Zhang T, Xu R, Wu H, Huang Z.   +5 more
europepmc   +1 more source

Hexagon Fraud Theory Analysis on Financial Statement Fraud

Indonesian Interdisciplinary Journal of Sharia Economics
The purpose of this study is to investigate the effect of Hexagon Fraud Theory (financial stability, external pressure, financial targets, nature of the industry, ineffective supervision, external auditor quality, auditor turnover, director turnover, arrogance, and state-owned enterprises) on financial statement fraud.
Ratu Persada Pahlevi Pasca Mahardika, Warsito Kawedar   +1 more
openaire   +1 more source

DQN‐Guided Subset‐Induced OCSVM Kernel Approximation for Imbalanced Anomaly Detection

IEEJ Transactions on Electrical and Electronic Engineering, EarlyView.
Anomaly detection under limited normal data remains a fundamental challenge due to severe class imbalance and scarcity of anomalies. We propose a novel framework that reformulates support vector selection in One‐Class SVM as a sequential decision‐making problem.
Wenqian Yu, Jiaying Wu, Jinglu Hu
wiley   +1 more source